Metadata Management and Lineage
Scanning a warehouse produces a complete catalog of names and types that answers almost none of the questions people actually arrive with.
A Data Catalog is an organized inventory of data assets within an organization, enriched with metadata to help users find, understand, and use data efficiently. It acts as a central hub for data discovery, governance, lineage tracking, and collaboration.
Scanning a warehouse produces a complete catalog of names and types that answers almost none of the questions people actually arrive with.
Splitting a warehouse replaces one product with five choices. See what object storage cannot do, how a table format fills the gap, and what copies cost.
The share of in-scope data assets whose catalog entries carry required metadata, how to choose the denominator, and what a high number cannot show.
See how run metadata, column-level lineage, coverage measurement, and consumer discovery turn “who uses this column?” into a candidate list you can validate.
A table format decides which files are the table, commits changes atomically, and lets readers keep a consistent snapshot. See how the mechanisms and their limits work.
Learn how a data catalog uses metadata to help people discover and assess datasets without granting access.